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Publisher
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Chalmers University of Technology

PhD in Data-Driven Product Realization and Model-Based Systems Engineering Chalmers University of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Sweden

University

Chalmers University of Technology

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Keywords

Computer Science
Electrical Engineering
Artificial Intelligence
Automation
Design Engineering
Digital Twin Technology
Monte Carlo Simulation
Model-driven Engineering
Decision Support System

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About this position

Chalmers University of Technology, through the Department of Mechanical Engineering and the Wingquist Laboratory, is advertising an opportunity for doctoral studies in data-driven product realization and related areas.

The research theme is centered on transforming industrial product realization from data-enabled practices into truly data-driven ways of working. The project connects engineering design, simulation, artificial intelligence, digital twins, manufacturing systems, communication infrastructure, and decision support to real industrial challenges. The initiative is part of DRIVE PR – Data-Driven Product Realisation, a major research and innovation effort carried out in close collaboration with leading Swedish industrial partners.

The advertised doctoral position may be linked to related projects in digital engineering, systems engineering, geometry assurance, automation, or model-based development. The post also mentions a Model-Based Systems Engineering direction connected to the SIJET project, focusing on whole engine modeling together with GKN.

This is a PhD opening; no postdoctoral or master's opening is indicated. The post does not provide a deadline, funding amount, eligibility checklist, or application portal in the text provided. Interested candidates should monitor the department’s official vacancy channels and apply through the university’s formal recruitment process once the full advertisement is available.

Academic keywords: data-driven product realization, model-based systems engineering, digital twins, engineering design, simulation, AI, manufacturing systems, automation, geometry assurance, decision support.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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